Nihr MCP Server

@pipeworx/nihr

UK NIHR MCP — every research and training award made by the National Institute for Health and Care Research: who was funded, which programme, how much, where, and which health category. Keyless.

Tools

• nihr_search_awards(...) — keyword search over award titles and abstracts, with filters on programme, funding stream, status, organisation, award amount and start date. Sortable by value or start date.
• nihr_get_award(project_id) — one award in full: both abstracts, value, dates, HRCS/UKCRC health coding, organisation with postcode and lat/lon, funding-and-awards link, and every named award holder with ORCID and role.
• nihr_awards_by_organisation(organisation, ...) — all NIHR awards to an institution (forgiving substring match), with total funded GBP, mean award, the organisation-name variants that matched, and a per-programme breakdown.
• nihr_award_holders(...) — chief investigators and co-applicants by name, ORCID or project id, returning their project ids to pivot into nihr_get_award.
• nihr_awards_by_programme(...) — award counts, total value, mean size and date range grouped by programme, funding stream, programme type or programme stream. Call with no arguments to discover the real programme names.

Auth

None. The NIHR Opendatasoft portal is fully open — no key, no signup, no per-key quota.

Data sources

• Portal: https://nihr.opendatasoft.com/
• Dataset catalogue: https://nihr.opendatasoft.com/api/explore/v2.1/catalog/datasets?limit=40 (26 datasets)
• Awards (primary, 11,502 rows): https://nihr.opendatasoft.com/api/explore/v2.1/catalog/datasets/nihr-summary-view/records
• Award holders (12,644 rows): https://nihr.opendatasoft.com/api/explore/v2.1/catalog/datasets/award-holders-table/records
• Public record per award: https://fundingawards.nihr.ac.uk/award/<project_id>

Other datasets on the same portal, not yet wired into this pack: nihr-infrastructure-supported-projects (45,258), infonihr-award-hrcs-rac-coding-and-apportionment (14,301), infonihr-award-hrcs-coding-and-apportionment (13,771), iat-data (6,275 integrated academic training), coded-portfolio (1,964), phof-datase (1,585 public health), nihr-open-data-global-health-downstream-partner-data (1,528), schools-data (1,022), rare-diseases-research-landscape-project (787), womens-health-curated-portfolio (691), prp_dataset (509).

Gotchas

project_id values come in three shapes and one of them contains slashes — 002/0028 alongside NIHR208893 and DRF-2009-02-122 — so the id must sit inside a double-quoted ODSQL literal and the whole where clause must be URL-encoded (where=project_id%3d%22002%2f0028%22); an unquoted or unencoded id silently matches nothing. limit hard-caps at 100 and Opendatasoft returns InvalidRESTParameterError rather than clamping, so the pack clamps for you. Full-text matching inside a field needs the ODS function form search(field, "text"); plain field="value" is exact equality, and field like "value" is the case-insensitive substring match this pack uses for institution and programme names — necessary because the same institution appears under several contracted names (Imperial College London, Imperial College of Science, Technology and Medicine and IMPERIAL COLLEGE HEALTHCARE NHS TRUST are three separate values covering 419 awards between them). award_amount_from_dh is a genuine number in GBP, so it can be filtered, sorted and summed — but an aggregate select with no group_by echoes the same totals row once per matched record, so read only the first result. min()/max() over a date field return full ISO timestamps rather than dates. On a group_by query total_count is the number of groups and is capped by limit, so it is not a row count. Some awards have a null programme_type (1,055 of them), and award_holder_name on the awards dataset can pack two people into one string separated by / — the award-holders dataset is the reliable per-person view.

Quick Start

Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):

{
  "mcpServers": {
    "nihr": {
      "url": "https://gateway.pipeworx.io/nihr/mcp"
    }
  }
}

Or connect to the full Pipeworx gateway for access to all 1375+ data sources:

{
  "mcpServers": {
    "pipeworx": {
      "url": "https://gateway.pipeworx.io/mcp"
    }
  }
}

Using with ask_pipeworx

Instead of calling tools directly, you can ask questions in plain English:

ask_pipeworx({ question: "your question about Nihr data" })

The gateway picks the right tool and fills the arguments automatically.

More

• All tools and guides
• pipeworx.io

License

MIT